Importance

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Abstract

Systems and methods for cold-start and continuous-learning via evolutionary explorations are provided. The system includes a database including serving data. A computer server is in communication with the database, the computer server is programmed to: obtain an advertisement opportunity including user data and page data; extract semantic features from the user data, the page data, and a campaign; determine a score that measures a similarity between the advertisement opportunity and the campaign using the semantic features; assign a set of weights to the semantic features when determining the score during a first time period; collect click data on the campaign while using the set of weights to run the campaign in the first time period; update the set of weights using the click data by minimizing a logistic loss function; and assign an updated set of weights to the semantic features during a second time period.

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First Claim